Day of week | Time of day
Package: kpitools 0.2.3
Alan G. Haynes
kpitools: Tools for creating key performance indicator reports for clinical trial
Assessing performance of clinical trials can assist identify problems earlier in the trial than might be possible without it and help to improve trial quality. Tools for the creating performance indicator reports are however uncommon. 'kpitools' aims to provide tools to create such reports.
Authors:
kpitools_0.2.3.tar.gz
kpitools_0.2.3.zip(r-4.7)kpitools_0.2.3.zip(r-4.6)kpitools_0.2.3.zip(r-4.5)
kpitools_0.2.3.tgz(r-4.6-any)kpitools_0.2.3.tgz(r-4.5-any)
kpitools_0.2.3.tar.gz(r-4.7-any)kpitools_0.2.3.tar.gz(r-4.6-any)
kpitools_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
kpitools/json (API)
| # Install 'kpitools' in R: |
| install.packages('kpitools', repos = c('https://ctu-bern.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dcr-unibe-ch/kpitools/issues
Pkgdown/docs site:https://dcr-unibe-ch.github.io
key-performance-indicatorkpiquality-control
Last updated from:1424f6545f. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 155 | ||
| source / vignettes | OK | 241 | ||
| linux-release-x86_64 | NOTE | 153 | ||
| macos-release-arm64 | NOTE | 96 | ||
| macos-oldrel-arm64 | NOTE | 88 | ||
| windows-devel | NOTE | 102 | ||
| windows-release | NOTE | 103 | ||
| windows-oldrel | NOTE | 95 | ||
| wasm-release | OK | 116 |
Exports:as.kpilistfab_dowfab_todkpikpi_accumulatekpi_fn_iqrkpi_fn_maxkpi_fn_meankpi_fn_mediankpi_fn_minkpi_fn_missingkpi_fn_nkpi_fn_perckpi_fn_propkpi_fnsriskcolsrisklabstheme_kpitools
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Detecting data fabrication with kpitools
Last update: 2021-06-23
Started: 2021-06-23
Using kpitools
Summary functions | Using custom functions | Hierarchies | Plotting | From summary statistics to risk | Individual KPIs to sets of KPIs
Last update: 2021-06-17
Started: 2021-05-10
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert a list to a kpilist | as.kpilist |
| Concatenate 'kpi' objects | c.kpi |
| Day of week figure(s) | fab_dow |
| Time of day figure(s) | fab_tod |
| Create KPI tables | kpi |
| Accumulate kpilists into KPIs per site lists The KPIs themselves are all well and good for e.g. a report where you walk through each individual KPI and present all of the info there, but they're not ideal if you want all of the KPIs for a given site or country or the overall study in a single table. 'kpi_accumulate' does this conversion | kpi_accumulate |
| KPI summary functions | IQR kpi_fn_iqr kpi_fn_max kpi_fn_mean kpi_fn_median kpi_fn_min kpi_fn_missing kpi_fn_n kpi_fn_perc kpi_fn_prop Maximum Mean Median Minimum Missing Percentages Proportions |
| Get a list of KPI summary functions provided by 'kpitools'. | kpi_fns |
| Get the outliers | kpi_outlier |
| Plot KPI objects | plot.kpi |
| Print method for kpi objects | print.kpi |
| Colors for KPIs cutoffs | riskcols |
| Labels for KPIs with cutoffs | risklabs |
| kpitools 'ggplot2' theme | theme_kpitools |
